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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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METHODOLOGY FOR DEVELOPING GRAPHICAL THINKING THROUGH THE INTEGRATION OF GEOMETRY AND COMPUTER SCIENCE

Authors: Zikirov Shohruhjon Shuhratovich;

METHODOLOGY FOR DEVELOPING GRAPHICAL THINKING THROUGH THE INTEGRATION OF GEOMETRY AND COMPUTER SCIENCE

Abstract

This article explores the scientific and methodological foundations for developing students’ graphical thinking through the integration of geometry and computer science. The study provides an in-depth analysis of the role of an integrated teaching system in enhancing spatial imagination and its impact on fostering logical and creative thinking competencies through graphical interfaces. Within the research framework, the influence of interactive environments created using the CeDG (Computer Extended Descriptive Geometry) model, AutoCAD, KOMPAS-3D, and Blender on the learning process was empirically examined. Based on statistical analyses, visual graphics, and innovative tabular data, it was demonstrated that presenting geometry in a modernized format significantly enhances students’ potential. Specifically, effective methodologies for developing graphical thinking through 3D modeling in virtual environments, interactive exercises, and project-based assignments are presented. The research findings substantiate the relevance of implementing integrated educational technologies to prepare modern technical specialists by harmoniously combining geometry and computer science.

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green